Offer summary

Qualifications:

Experience in data engineering and AI services on Azure., Proficiency with Python, Databricks, CI/CD, and MLOps., Knowledge of big data processing and automated pipelines., Fluent in English and familiar with Scrum methodologies..

Key responsibilities:

Gather and analyze business and functional data requirements.

Design and implement data solutions and models in alignment with architectural guidelines.

Participate in testing, documentation, and ensuring solution quality.

Collaborate with stakeholders and team members to deliver AI and data processing solutions.

Job description

Day to day:

Gathering business and functional data requirements
Be a true partner for product owners and other stakeholders
Create solution designs and data models, with your team and in alignment with architectural guidelines
Create technical designs and ensure solutions are built according to the designs and guidelines.
As a team player help out where needed to get the job done
Knowledgeable in all scrum ceremonies, such as demo, retro and planning sessions
Create User Stories in close alignment with team and stakeholders
Embedding IT requirements, security, compliance and non-functional requirements and taking into account architecture landscape and target state.
Be involved in System Test and UAT, check whether built solution fulfills acceptance criteria from a technical perspective
Organize test activities/ events and follow-up on findings, following the policy regarding testing
Ensures that deliveries by the team is supported with proper documentation

Essentials:

Understand data engineering and is experienced in CD/CI automated pipelines and monitoring AI services. He/She has
Exposure and hands on experience with Azure : AI service, Machine learning, Cognitive Search, Open AI
Experience with Azure, Databricks, Python, CI/CD, MLOps, Automation.
Experience with smoothly processing large documents
Speaks/writes English fluently.
Is familiar with concepts of big data processing and has practical experience.

Nice to have:

Is passionate about data and data processing
Understand/knows relevant business processes related with Banking and Risk/Modeling or can learn them quickly.
Has experience in talking to business users to gather data requirements, understand their issues. Can ask 5 x why.
Can switch from details to the bigger picture and back. Can always look at requirements/wishes as part of the bigger picture.
Can explain requirements to developers (via User stories).
Can work in an environment where a day never will be as planned. Is flexible in these situations, but also able to push back where needed.
Can facilitate workshops with business to define process, requirements, and impact on current way of working.
Can set priorities or challenge priorities.
Has a can-do mentality, (no 9-5 mentality)

Company's wellbeing ambition is to educate, equip, and empower members to build connections, manage their mental, emotional, physical, and financial wellness, and maintain balance between work and the other priorities that make up their lives. The teams four wellbeing categories are as follows:

Connection Build meaningful connections with other members
Health Manage mental, emotional, and physical health
Finance Provide learning opportunities to help members achieve personal financial health
Lifestyle Maintain balance between work and life priorities
These are the things that matter to the members and the wellbeing of the members matter.